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» Regular labelings and geometric structures
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ACL
2006
15 years 1 months ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
DAGM
2006
Springer
15 years 3 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
CVPR
2011
IEEE
14 years 7 months ago
Energy Based Multiple Model Fitting for Non-Rigid Structure from Motion
In this paper we reformulate the 3D reconstruction of deformable surfaces from monocular video sequences as a labeling problem. We solve simultaneously for the assignment of featu...
Chris Russell, Joao Fayad, Lourdes Agapito
3DPVT
2004
IEEE
149views Visualization» more  3DPVT 2004»
15 years 3 months ago
Fan-Meshes: A Geometric Primitive for Point-Based Description of 3D Models and Scenes
We propose a new data structure, called Fan-Meshes (FM), for reconstructing 3D models and scenes represented by dense scanning point clouds. It is a local piecewise linear approxi...
Xiaotian Yan, Fang Meng, Hongbin Zha
CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 12 months ago
Probabilistic regular graphs
Deterministic graph grammars generate regular graphs, that form a structural extension of configuration graphs of pushdown systems. In this paper, we study a probabilistic extensio...
Nathalie Bertrand, Christophe Morvan